- Artificial neural networks (ANNs) cannot perform better than statistical methods when analyzing independent stochastic data or events, as ANNs learn from patterns in training data rather than understanding the underlying probabilities.
- Examples of independent stochastic systems that ANNs cannot improve upon include coin flips, particle distribution in a closed room, salt dissolution in water, and casino games like roulette which are purely statistical.
- While ANNs have been applied to problems involving spectroscopic data, they cannot produce more accurate results than statistical analysis as spectroscopic techniques also involve independent stochastic interactions at a subatomic level.